symbolism (logicism) requires large samples

connectionism (bionicism) requires large samples

Actionism (decision-making control) requires large samples

there is overfitting in symbolism (logicism)

there is overfitting in connectionism (bionicism)

there is overfitting in Actionism (decision-making control)

there's interaction with environment in symbolism (logicism)

there's interaction with environment in connectionism (bionicism)

there's interaction with environment in Actionism (decision-making control)

combinatorial explosion in symbolism (logicism)

combinatorial explosion in connectionism (bionicism)

combinatorial explosion in Actionism (decision-making control)

computational complexity in symbolism (logicism)

computational complexity in connectionism (bionicism)

computational complexity in Actionism (decision-making control)

AI is a field of ML. It uses statistical methods to give the
computer the ability to ”learn” from data, without being
explicitly programmed

DL (including Machine learning (ML)) is a study of learning
algorithms

choose the right one

It is a machine learning type that learns from data that has not
been labeled